Mining data for financial applications: 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers
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Körperschaft: | |
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Weitere Verfasser: | , , , , , |
Format: | Elektronisch Tagungsbericht E-Book |
Sprache: | English |
Veröffentlicht: |
Cham, Switzerland
Springer
[2020]
|
Schriftenreihe: | Artificial intelligence
11985 |
Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBA01 UBG01 UBM01 UBR01 UBT01 UBW01 UBY01 UER01 UPA01 Volltext |
Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
ISBN: | 9783030377205 |
DOI: | 10.1007/978-3-030-37720-5 |
Internformat
MARC
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Datensatz im Suchindex
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any_adam_object | |
author2 | Bitetta, Valerio Bordino, Ilaria Ferretti, Andrea Gullo, Francesco Pascolutti, Stefano Ponti, Giovanni |
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author_corporate | MIDAS Würzburg |
author_corporate_role | aut |
author_facet | Bitetta, Valerio Bordino, Ilaria Ferretti, Andrea Gullo, Francesco Pascolutti, Stefano Ponti, Giovanni MIDAS Würzburg |
author_sort | MIDAS Würzburg |
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dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-030-37720-5 |
format | Electronic Conference Proceeding eBook |
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genre | (DE-588)1071861417 Konferenzschrift 16.09.2019 Würzburg gnd-content |
genre_facet | Konferenzschrift 16.09.2019 Würzburg |
id | DE-604.BV046403597 |
illustrated | Not Illustrated |
indexdate | 2024-08-01T15:06:48Z |
institution | BVB |
institution_GND | (DE-588)1204234035 |
isbn | 9783030377205 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031816319 |
oclc_num | 1136510054 |
open_access_boolean | |
owner | DE-573 DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-384 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 |
owner_facet | DE-573 DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-384 DE-M347 DE-703 DE-706 DE-739 DE-634 DE-188 |
physical | 1 Online-Ressource Illustrationen, Diagramme |
psigel | ZDB-2-SCS ZDB-2-LNC ZDB-2-SCS_2020 ZDB-2-LNC_2020 ZDB-2-LNC ZDB-2-LNC_2020 |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Springer |
record_format | marc |
series | Artificial intelligence |
series2 | Lecture notes in computer science Artificial intelligence |
spellingShingle | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers Artificial intelligence Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences Artificial intelligence Optical data processing Computer organization Computers E-commerce Application software Maschinelles Sehen (DE-588)4129594-8 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Data Mining (DE-588)4428654-5 gnd Bildverarbeitung (DE-588)4006684-8 gnd Finanzwirtschaft (DE-588)4017214-4 gnd |
subject_GND | (DE-588)4129594-8 (DE-588)4033447-8 (DE-588)4428654-5 (DE-588)4006684-8 (DE-588)4017214-4 (DE-588)1071861417 |
title | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers |
title_auth | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers |
title_exact_search | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers |
title_full | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti (eds.) |
title_fullStr | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti (eds.) |
title_full_unstemmed | Mining data for financial applications 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Stefano Pascolutti, Giovanni Ponti (eds.) |
title_short | Mining data for financial applications |
title_sort | mining data for financial applications 4th ecml pkdd workshop midas 2019 wurzburg germany september 16 2019 revised selected papers |
title_sub | 4th ECML PKDD Workshop, MIDAS 2019, Würzburg, Germany, September 16, 2019 : revised selected papers |
topic | Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences Artificial intelligence Optical data processing Computer organization Computers E-commerce Application software Maschinelles Sehen (DE-588)4129594-8 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Data Mining (DE-588)4428654-5 gnd Bildverarbeitung (DE-588)4006684-8 gnd Finanzwirtschaft (DE-588)4017214-4 gnd |
topic_facet | Artificial Intelligence Image Processing and Computer Vision Computer Systems Organization and Communication Networks Information Systems and Communication Service e-Commerce/e-business Computer Appl. in Social and Behavioral Sciences Artificial intelligence Optical data processing Computer organization Computers E-commerce Application software Maschinelles Sehen Künstliche Intelligenz Data Mining Bildverarbeitung Finanzwirtschaft Konferenzschrift 16.09.2019 Würzburg |
url | https://doi.org/10.1007/978-3-030-37720-5 |
volume_link | (DE-604)BV014880109 |
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